A meta-model for software protections and reverse engineering attacks
- Submitting institution
-
University of East London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 10
- Type
- D - Journal article
- DOI
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10.1016/j.jss.2018.12.025
- Title of journal
- Journal of Systems and Software
- Article number
- -
- First page
- 3
- Volume
- 150
- Issue
- -
- ISSN
- 0164-1212
- Open access status
- Exception within 3 months of publication
- Month of publication
- -
- Year of publication
- 2019
- URL
-
https://biblio.ugent.be/publication/8607747
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
3 - Secure Software Engineering
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work describes the first meta-model to build a knowledge base of software protections and reverse engineering attacks. The meta-model is built with software tools enabling non-modelling experts to feed information into the knowledge base; it has been validated with attack models of two industry case studies: White-Box Cryptography and Virtualization Obfuscation, from NAGRA [1] and Thales [2] respectively, and it helped improve the protections of their software products. It led to two PhD completions at Politecnico di Torino.
[1] Brecht Wyseur, Senior Product Manager at NAGRA-Kudelski IoT
[2] Michael Zunke, CTO Thales.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -